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An Algebraic Approach to Solving the Problem of Identification by the Use of Modulating Functions and Convolution Filter. Glass Conditioning Process

Conference paper
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Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1196)

Abstract

The paper presents an application of the modulating functions method (MFM) for the identification of an industrial process of glass conditioning, which involves cooling the glass mass between its melting and further processing. The process is carried out in glass forehearths after leaving a melting unit. Precise temperature control is essential during the process, hence much effort was put into its modelling. Linear model of the process can be obtained on-line based on the input and output signal measurements. The model can be used for predicting molten glass temperature changes in the real forehearth. For the first time, the results obtained by the MFM are compared with the simulation results for the partial differential equation model and with the real process data.

Keywords

System identification Modulating functions Exact state observer Glass forehearth 

Notes

Acknowledgement

This work was supported by the scientific research funds from the Polish Ministry of Science and Higher Education and AGH UST Agreement no 16.16.120.773 and was also conducted within the research of EC Grant H2020-MSCA-RISE-2018/824046.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Automatic Control and RoboticsAGH University of Science and TechnologyKrakówPoland

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